A computational intelligence system based on memory consolidation model

Humans are effective in learning and problem solving. Thus, a computational intelligence method that models human being not only increases in credibility, but also increases in performance. One of the reasons behind effective learning is that the brain employs an effective memory consolidation mechanism. Hence, a method that functionally models the memory consolidation mechanism is proposed. It is named pseudo associative complementary learning. Preliminary analysis shows that this system is capable of giving competent performance in pattern recognition.